Explore results and analytic products related to country progress in RMNCAH-N.
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COUNTRY PROFILE
Indonesia
Country Routine and Project Indicators by Priority Area
This section presents a selection of country routine and project indicators tagged across national priorities and GFF areas of engagement. Users can select a thematic card to view the indicators grouped under that area of engagement and visualize corresponding national and subnational trends in the implementation progress section, where available. Because indicators are relevant to multiple strategic priorities, please note that some may appear under more than one category.
Implementation Progress Data
This section includes selected indicators from the Investment Case Results Framework, Health Financing priorities, and the relevant World Bank projects. Indicators have been tagged by technical programmatic areas to support thematic analysis and visualization. Use the dropdown menu to select an indicator and view the corresponding data. Where subnational data is available, the map will display either time trends or the most recent data for each region. Hovering over the map reveals additional details for the selected indicator, and clicking on a region adds it to the chart on the right. All data, including source information, can be downloaded by clicking the arrow next to the indicator dropdown.
Implementation Progress
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Impact Indicators
This section presents core impact indicators for RMNCAH-N and health financing. These indicators track health outcomes and financing performance, aligned with global targets to support evidence-based planning and resource allocation.
Core RMNCAH-N Impact Indicators
The 8 GFF core impact indicators reflect updates aligned with the in-country survey schedule which optimally occurs once every three to five years to determine population-based changes in important health and nutrition outcomes. These indicators are core to the GFF Logic Model, to reflect impact of aligned interventions over time.
CORE RMNCAH-N IMPACT INDICATORS
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The GFF highlights progress between the two most recent point estimates from population-based surveys approved by countries. The timing of the data points is dependent on when survey data are available, which introduces lags. In addition, it has been demonstrated that stillbirths tend to be under-reported in population based surveys1.
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Alternative Data Sources:
For many of the indicators highlighted in this table, annual estimates are produced through global processes. The globally produced estimates can be found through the following sites:
Core Health Financing Indicators
The six GFF core health financing indicators track changes to country budget and expenditures with a focus on health spending, to monitor the expected impact of increasing the total volume and value of funding allocated to health and nutrition. The GFF partnership supports financing reforms by engaging with ministries of finance and ministries of health to strengthen mobilization of domestic resources as well as allocative and technical efficiency. These indicators are tracked through country-specific data sources such as BOOST, NHA, and budget reports. Expenditure data are tracked through the Global Health Expenditure Database (GHED), for which data are available through the end of 2018. Through measurement of budgets and expenditures, the GFF partnership aims to accelerate the expansion of interventions that are high-impact, cost-effective, affordable, and feasible to accelerate progress on universal health coverage and in achieving SDG targets.
CORE HEALTH FINANCING INDICATORS
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Survey and Estimated RMNCAH-N Coverage
The RMNCAH-N coverage data includes a standard set of 15 RMNCAH-N coverage indicators from available population-based surveys from 2011 to the most recent available survey. These indicators show progress towards key goals across maternal, child, and adolescent health and nutrition outcomes. Additional key nutrition-sensitive and/or education-specific coverage indicators are presented for countries where the GFF co-finances a nutrition-focused World Bank project or where education is a strong focus of the IC.
The RMNCAH-N coverage data are sourced from the most recent available population-based surveys.
Data and Analytics Partnerships
The GFF works in close collaboration with governments and technical partners to strengthen national data systems and promote the use of evidence for decision-making. Through initiatives such as AdLAB, Countdown and MAGE, countries are supported to generate, analyze, and apply data to improve planning, equity, and accountability for women, children, and adolescents’ health. Learn more about these partnerships and how they support country-led efforts.
Adolescent Learning, Action and Benchmarking
AdLAB (Adolescent Learning, Action and Benchmarking) strengthens national capacity to analyze and use data for adolescent and youth health. It promotes the use of evidence for scalable solutions and engages stakeholders to ensure health systems are responsice to adolescents' needs.
Monitoring and Action for Gender and Equity
MAGE (Monitoring and Action for Gender and Equity) supports data and analyses for prioritizing and tracking reforms that advance gender equality and women's, children's, and adolescents' health. It supports countries to generate and use data and analyses for more gender equitable health systems and services.
GFF Partner Country Indonesia
The GFF supports Indonesia’s leadership to reduce stunting among children. Among other priorities, the government is investing in the scaleup of early childhood development services, nutrition-sensitive food assistance, and behavior change communication efforts.
The GFF support is focused on specific catalytic actions including strengthening national coordination and accountability, closing gaps in service delivery and reforming health financing. The GFF has contributed to the scaling up of a village convergence scorecard and mobilization of Human Development Workers (HDWs) to empower 70,000+ villages to converge services and leverage village budgets for stunting reduction. Moreover, the GFF supports the rollout and use of innovative technology solutions (for example, the e-HDW mobile application) to enable real-time monitoring from 75,000 villages and improve HDW capacity to manage the convergence program.
In addition, the GFF helps improve fiscal transfers to districts and villages and supports the development of a system for tracking government expenditures on nutrition, among other interventions.